3. Dashboards and Visualizations – Make Data Shine | Splunk Operational Intelligence Cookbook

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Table Of Contents

Splunk Operational Intelligence Cookbook

4.2 (15)

Buy this Book

Splunk Operational Intelligence Cookbook

4.2 (15)

Buy this Book

Overview of this book

This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of a business – IT, Security, Product, Marketing, and many more!

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Play Time – Getting Data In

Introduction

Indexing files and directories

Getting data through network ports

Using scripted inputs

Using modular inputs

Using the Universal Forwarder to gather data

Loading the sample data for this book

Defining field extractions

Defining event types and tags

Summary

2. Diving into Data – Search and Report

Introduction

Making raw event data readable

Finding the most accessed web pages

Finding the most used web browsers

Identifying the top-referring websites

Charting web page response codes

Displaying web page response time statistics

Listing the top viewed products

Charting the application's functional performance

Charting the application's memory usage

Counting the total number of database connections

Summary

3. Dashboards and Visualizations – Make Data Shine

Introduction

Creating an Operational Intelligence dashboard

Using a pie chart to show the most accessed web pages

Displaying the unique number of visitors

Using a gauge to display the number of errors

Charting the number of method requests by type and host

Creating a timechart of method requests, views, and response times

Using a scatter chart to identify discrete requests by size and response time

Creating an area chart of the application's functional statistics

Using a bar chart to show the average amount spent by category

Creating a line chart of item views and purchases over time

Summary

4. Building an Operational Intelligence Application

Introduction

Creating an Operational Intelligence application

Adding dashboards and reports

Organizing the dashboards more efficiently

Dynamically drilling down on activity reports

Creating a form to search web activities

Linking web page activity reports to the form

Displaying a geographical map of visitors

Scheduling the PDF delivery of a dashboard

Summary

5. Extending Intelligence – Data Models and Pivoting

Introduction

Creating a data model for web access logs

Creating a data model for application logs

Accelerating data models

Pivoting total sales transactions

Pivoting purchases by geographical location

Pivoting slowest responding web pages

Pivot charting top error codes

Summary

6. Diving Deeper – Advanced Searching

Introduction

Calculating the average session time on a website

Calculating the average execution time for multi-tier web requests

Displaying the maximum concurrent checkouts

Analyzing the relationship of web requests

Predicting website-traffic volumes

Finding abnormally sized web requests

Identifying potential session spoofing

Summary

7. Enriching Data – Lookups and Workflows

Introduction

Looking up product code descriptions

Flagging suspicious IP addresses

Creating a session state table

Adding hostnames to IP addresses

Searching ARIN for a given IP address

Triggering a Google search for a given error

Creating a ticket for application errors

Looking up inventory from an external database

Summary

8. Being Proactive – Creating Alerts

Introduction

Alerting on abnormal web page response times

Alerting on errors during checkout in real time

Alerting on abnormal user behavior

Alerting on failure and triggering a scripted response

Alerting when predicted sales exceed inventory

Summary

9. Speed Up Intelligence – Data Summarization

Introduction

Calculating an hourly count of sessions versus completed transactions

Backfilling the number of purchases by city

Displaying the maximum number of concurrent sessions over time

Summary

10. Above and Beyond – Customization, Web Framework, REST API, and SDKs

Introduction

Customizing the application's navigation

Adding a force-directed graph of web hits

Adding a calendar heatmap of product purchases

Remotely querying Splunk's REST API for unique page views

Creating a Python application to return unique IP addresses

Creating a custom search command to format product names

Summary

Index

Splunk Operational Intelligence Cookbook

Splunk Operational Intelligence Cookbook

Overview of this book

Using a scatter chart to identify discrete requests by size and response time

Getting ready

Confirmation

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